Files analyzed
The present document has the finality of summarize some of the analysis that can be done using CIVED/ICCS data set to study the scales regarding Attitudes toward diverse social groups, such as Attitudes toward equal rights for all ethnic/racial groups, Attitudes toward gender equality and Attitudes toward equal rights for immigrants. Three cycles are available and multiple countries participate in each one of them.
This summary include the following selected countries and years (cycle) in the analysis.
Participant countries
The participant countries were divided in 5 groups:
- Nordic Countries: Denmark, Finland, Norway, Sweden.
- Western European Countries: Belgium (Flemish), The Netherlands.
- Central and Eastern European Countries: Bulgaria, Estonia, Latvia, Lithuania, Croatia, Slovenia.
- Southern European Countries: Italy, Malta.
- Latin American Countries: Chile, Peru, Colombia, Dominican Republic, Mexico.
Weights and sample size
The number of observations available for each cycle is in the following tables for each questionnaire, Student, Teacher and School. n* corresponds to the effective sample size, w* to the total weight and w*s the senate weight (sum up 1000 for each country).
Student questionnaires
| BFL |
ISG |
|
|
|
2968 |
67912.67 |
1000 |
2931 |
72667.009 |
1000 |
| BGR |
ISG |
2884 |
92847.59 |
1000 |
3257 |
63556.95 |
1000 |
2966 |
52891.337 |
1000 |
| CHL |
ISG |
5688 |
215497.24 |
1000 |
5192 |
258421.88 |
1000 |
5081 |
230271.085 |
1000 |
| COL |
ISG |
4926 |
445251.44 |
1000 |
6204 |
661787.03 |
1000 |
5609 |
689130.657 |
1000 |
| DNK |
ISG |
3208 |
50478.88 |
1000 |
4508 |
62233.45 |
1000 |
6254 |
53674.763 |
1000 |
| DOM |
ISG |
|
|
|
4589 |
160606.76 |
1000 |
3937 |
138418.016 |
1000 |
| EST |
ISG |
3434 |
18582.25 |
1000 |
2743 |
11747.58 |
1000 |
2857 |
10445.245 |
1000 |
| FIN |
ISG |
2782 |
61871.43 |
1000 |
3307 |
62767.65 |
1000 |
3173 |
52363.801 |
1000 |
| HRV |
ISG |
|
|
|
|
|
|
3896 |
37984.805 |
1000 |
| ITA |
ISG |
3808 |
528794.51 |
1000 |
3366 |
539499.00 |
1000 |
3450 |
556227.988 |
1000 |
| LTU |
ISG |
3494 |
48570.69 |
1000 |
3902 |
37635.81 |
1000 |
3631 |
25600.968 |
1000 |
| LVA |
ISG |
2572 |
27638.08 |
1000 |
2761 |
20885.34 |
1000 |
3224 |
16518.730 |
1000 |
| MEX |
ISG |
|
|
|
6576 |
2010461.00 |
1000 |
5526 |
2240779.219 |
1000 |
| MLT |
ISG |
|
|
|
2143 |
4866.50 |
1000 |
3764 |
3959.666 |
1000 |
| NLD |
ISG |
|
|
|
1964 |
161660.67 |
1000 |
2812 |
173370.425 |
1000 |
| NOR |
ISG |
3321 |
47656.07 |
1000 |
3013 |
59637.73 |
1000 |
6271 |
56078.744 |
1000 |
| PER |
ISG |
|
|
|
|
|
|
5166 |
507364.245 |
1000 |
| SVN |
ISG |
3068 |
23577.77 |
1000 |
3070 |
17295.23 |
1000 |
2844 |
17376.522 |
1000 |
| SWE |
ISG |
3073 |
101722.94 |
1000 |
3464 |
106711.97 |
1000 |
3264 |
103755.133 |
1000 |
Teacher questionnaires
| BFL |
ITG |
|
|
|
1630 |
15621.893 |
1000 |
2021 |
17605.496 |
1000 |
| BGR |
ITG |
|
|
|
1850 |
17158.673 |
1000 |
1549 |
15414.510 |
1000 |
| CHL |
ITG |
|
|
|
1756 |
43929.767 |
1000 |
1452 |
45147.971 |
1000 |
| COL |
ITG |
|
|
|
2010 |
102521.099 |
1000 |
1580 |
114514.857 |
1000 |
| DNK |
ITG |
|
|
|
928 |
12452.308 |
1000 |
489 |
12263.405 |
1000 |
| DOM |
ITG |
|
|
|
778 |
14609.039 |
1000 |
754 |
18728.625 |
1000 |
| EST |
ITG |
|
|
|
1863 |
5356.784 |
1000 |
403 |
5496.106 |
1000 |
| FIN |
ITG |
|
|
|
2295 |
15803.989 |
1000 |
2097 |
15354.903 |
1000 |
| HRV |
ITG |
|
|
|
|
|
|
2723 |
12417.990 |
1000 |
| ITA |
ITG |
|
|
|
3023 |
143556.546 |
1000 |
2331 |
123910.482 |
1000 |
| LTU |
ITG |
|
|
|
2774 |
16734.281 |
1000 |
2674 |
12316.883 |
1000 |
| LVA |
ITG |
|
|
|
2077 |
10101.890 |
1000 |
1946 |
8353.302 |
1000 |
| MEX |
ITG |
|
|
|
1844 |
176300.493 |
1000 |
1918 |
213968.396 |
1000 |
| MLT |
ITG |
|
|
|
900 |
1603.630 |
1000 |
737 |
1660.851 |
1000 |
| NLD |
ITG |
|
|
|
|
|
|
1374 |
40310.697 |
1000 |
| NOR |
ITG |
|
|
|
492 |
8836.001 |
1000 |
2010 |
12644.922 |
1000 |
| PER |
ITG |
|
|
|
|
|
|
2384 |
105798.246 |
1000 |
| SVN |
ITG |
|
|
|
2755 |
6917.463 |
1000 |
2056 |
6575.890 |
1000 |
| SWE |
ITG |
|
|
|
1942 |
26870.974 |
1000 |
1542 |
23494.898 |
1000 |
School questionnaires
| BFL |
ICG |
|
|
|
151 |
611.1388 |
1000 |
149 |
817.6296 |
1000 |
| BGR |
ICG |
148 |
2223.9781 |
1000 |
158 |
1855.3635 |
1000 |
145 |
1617.0785 |
1000 |
| CHL |
ICG |
180 |
4131.0127 |
1000 |
177 |
5732.0401 |
1000 |
158 |
5355.8507 |
1000 |
| COL |
ICG |
144 |
6797.3693 |
1000 |
196 |
10150.0111 |
1000 |
128 |
10191.2425 |
1000 |
| DNK |
ICG |
178 |
1273.4806 |
1000 |
171 |
1292.4315 |
1000 |
181 |
1305.0209 |
1000 |
| DOM |
ICG |
|
|
|
144 |
3192.5247 |
1000 |
127 |
3267.6787 |
1000 |
| EST |
ICG |
145 |
477.5584 |
1000 |
126 |
383.5236 |
1000 |
105 |
367.4458 |
1000 |
| FIN |
ICG |
146 |
613.5208 |
1000 |
174 |
696.7206 |
1000 |
174 |
690.9931 |
1000 |
| HRV |
ICG |
|
|
|
|
|
|
174 |
913.0993 |
1000 |
| ITA |
ICG |
172 |
4052.2315 |
1000 |
172 |
5780.3260 |
1000 |
163 |
5853.3557 |
1000 |
| LTU |
ICG |
169 |
1093.3937 |
1000 |
196 |
1006.8849 |
1000 |
183 |
788.2449 |
1000 |
| LVA |
ICG |
130 |
769.9770 |
1000 |
135 |
806.0729 |
1000 |
137 |
656.0664 |
1000 |
| MEX |
ICG |
|
|
|
214 |
30456.6752 |
1000 |
213 |
32384.9966 |
1000 |
| MLT |
ICG |
|
|
|
54 |
55.0000 |
1000 |
47 |
47.0000 |
1000 |
| NLD |
ICG |
|
|
|
46 |
1256.9528 |
1000 |
103 |
1424.3131 |
1000 |
| NOR |
ICG |
154 |
989.5626 |
1000 |
118 |
897.4152 |
1000 |
142 |
984.2794 |
1000 |
| PER |
ICG |
|
|
|
|
|
|
206 |
12023.2879 |
1000 |
| SVN |
ICG |
149 |
430.3076 |
1000 |
158 |
446.8615 |
1000 |
135 |
450.3566 |
1000 |
| SWE |
ICG |
138 |
1062.8924 |
1000 |
155 |
1481.7831 |
1000 |
141 |
1569.9291 |
1000 |
Description of variables
In this section items available in each data set regarding the constructs of interest are described. Barplots are drawn by country using their respective weights. The frequencies are differentiated by Gender and Total sample.
The indexed of each respective scale are also plotted in a violin diagram, orderer by the weighted mean of each country. The boxplot of the distribution of the data is also included. Dotted line represent the weighted mean for each subgroup and Total.
Each cycle can be seen in each tab in this section.
Construct: Attitudes toward equal rights for immigrants
Items: BS4H1, BS4H2, BS4H3, BS4H4, BS4H5





Index: Positive Attitudes toward Immigrants

Confirmatory Factor Analysis (CFA)
In this section, a confirmatory factor analysis for the three scales analysed is performed, using weights and complexity of the sample was taken into account. Invariance analysis was also performed to Gender groups and Country groups. The loading od each country in the specific scale are plot with their respective confidence interval.
Each cycle can be seen in each tab in this section. Finally, last tab show the scores obtained by each model, which are saved and used in the following sections. Latin American countries questionnaires did not include Immigration scale in 2016, the model for this countries only include remaining two scales.
CFA - ICCS 1999, all countries
| 41788 |
7667.616 |
85 |
0.962 |
0.953 |
0.046 |
0.03 |
CFA - ICCS 1999, by countries
| BGR |
2771 |
943.492 |
85 |
0.933 |
0.917 |
0.060 |
0.047 |
| CHL |
5681 |
948.848 |
85 |
0.941 |
0.927 |
0.042 |
0.033 |
| COL |
4916 |
1202.764 |
85 |
0.935 |
0.919 |
0.052 |
0.036 |
| DNK |
3149 |
639.471 |
85 |
0.975 |
0.969 |
0.046 |
0.024 |
| EST |
3405 |
904.415 |
85 |
0.936 |
0.921 |
0.053 |
0.037 |
| FIN |
2760 |
707.182 |
85 |
0.968 |
0.960 |
0.051 |
0.026 |
| ITA |
3797 |
786.272 |
85 |
0.964 |
0.955 |
0.047 |
0.028 |
| LVA |
2534 |
1056.548 |
85 |
0.884 |
0.856 |
0.067 |
0.050 |
| LTU |
3427 |
922.377 |
85 |
0.933 |
0.917 |
0.054 |
0.036 |
| NOR |
3273 |
1131.941 |
85 |
0.953 |
0.942 |
0.061 |
0.032 |
| SWE |
3020 |
1109.104 |
85 |
0.955 |
0.944 |
0.063 |
0.032 |
| SVN |
3055 |
744.765 |
85 |
0.945 |
0.933 |
0.050 |
0.034 |


Invariance between COUNTRY
| Configural |
600 |
-622916.0 |
11097.179 |
1020 |
0.937 |
0.949 |
0.053 |
|
|
|
| Metric |
468 |
-338713.3 |
7622.148 |
1152 |
0.933 |
0.939 |
0.054 |
-0.004 |
-0.010 |
0.001 |
| Scalar |
336 |
-342110.6 |
14416.721 |
1284 |
0.878 |
0.876 |
0.073 |
-0.055 |
-0.063 |
0.019 |
| Strict |
303 |
-342828.0 |
15851.575 |
1317 |
0.868 |
0.862 |
0.076 |
-0.010 |
-0.014 |
0.003 |
Invariance between GENDER
| Configural |
100 |
-627528.2 |
8013.263 |
170 |
0.946 |
0.956 |
0.047 |
|
|
|
| Metric |
88 |
-343059.2 |
4507.141 |
182 |
0.949 |
0.956 |
0.046 |
0.003 |
0.000 |
-0.001 |
| Scalar |
76 |
-343296.3 |
4981.395 |
194 |
0.947 |
0.951 |
0.047 |
-0.002 |
-0.005 |
0.001 |
| Strict |
73 |
-343641.4 |
5671.583 |
197 |
0.941 |
0.944 |
0.050 |
-0.006 |
-0.007 |
0.003 |
CFA - ICCS 2009, all countries
| 61894 |
11614.4 |
41 |
0.953 |
0.937 |
0.068 |
0.036 |
CFA - ICCS 2009, by countries
| DNK |
4355 |
1212.028 |
41 |
0.953 |
0.938 |
0.081 |
0.046 |
| FIN |
3292 |
757.819 |
41 |
0.965 |
0.953 |
0.073 |
0.036 |
| NOR |
2917 |
976.545 |
41 |
0.942 |
0.923 |
0.088 |
0.049 |
| SWE |
3410 |
1332.768 |
41 |
0.944 |
0.925 |
0.096 |
0.044 |
| BFL |
2962 |
688.490 |
41 |
0.948 |
0.931 |
0.073 |
0.046 |
| NLD |
1909 |
635.398 |
41 |
0.936 |
0.913 |
0.087 |
0.053 |
| BGR |
3187 |
443.464 |
41 |
0.966 |
0.954 |
0.055 |
0.030 |
| EST |
2712 |
553.442 |
41 |
0.937 |
0.916 |
0.068 |
0.046 |
| LVA |
2743 |
306.210 |
41 |
0.963 |
0.950 |
0.049 |
0.032 |
| LTU |
3893 |
603.339 |
41 |
0.956 |
0.941 |
0.059 |
0.035 |
| SVN |
3054 |
723.539 |
41 |
0.945 |
0.927 |
0.074 |
0.042 |
| ITA |
3357 |
761.160 |
41 |
0.949 |
0.931 |
0.072 |
0.040 |
| MLT |
2112 |
595.200 |
41 |
0.915 |
0.885 |
0.080 |
0.046 |
| CHL |
5160 |
433.149 |
41 |
0.977 |
0.969 |
0.043 |
0.024 |
| COL |
6108 |
499.769 |
41 |
0.972 |
0.962 |
0.043 |
0.023 |
| DOM |
4259 |
384.489 |
41 |
0.955 |
0.940 |
0.044 |
0.025 |
| MEX |
6464 |
642.907 |
41 |
0.972 |
0.962 |
0.048 |
0.023 |


Invariance between COUNTRY
| Configural |
612 |
-605843.9 |
11549.72 |
697 |
0.940 |
0.955 |
0.065 |
|
|
|
| Metric |
484 |
-569065.8 |
12076.80 |
825 |
0.944 |
0.951 |
0.063 |
0.004 |
-0.004 |
-0.002 |
| Scalar |
356 |
-575526.3 |
24997.87 |
953 |
0.897 |
0.895 |
0.086 |
-0.047 |
-0.056 |
0.023 |
| Strict |
308 |
-577039.2 |
28023.65 |
1001 |
0.890 |
0.882 |
0.089 |
-0.007 |
-0.013 |
0.003 |
Invariance between GENDER
| Configural |
72 |
-626311.7 |
11665.90 |
82 |
0.933 |
0.950 |
0.068 |
|
|
|
| Metric |
64 |
-589069.5 |
11048.68 |
90 |
0.939 |
0.950 |
0.065 |
0.006 |
0.000 |
-0.003 |
| Scalar |
56 |
-589460.0 |
11829.58 |
98 |
0.940 |
0.946 |
0.064 |
0.001 |
-0.004 |
-0.001 |
| Strict |
53 |
-590638.6 |
14186.78 |
101 |
0.930 |
0.936 |
0.069 |
-0.010 |
-0.010 |
0.005 |
CFA - ICCS 2016, all countries
| Europe |
51042 |
14558.169 |
98 |
0.956 |
0.947 |
0.054 |
0.051 |
| Latam |
24853 |
2065.584 |
40 |
0.975 |
0.966 |
0.045 |
0.025 |
CFA - ICCS 2016, by countries
| DNK |
6126 |
1597.747 |
98 |
0.968 |
0.961 |
0.050 |
0.034 |
| FIN |
3162 |
932.887 |
98 |
0.971 |
0.964 |
0.052 |
0.040 |
| NOR |
6235 |
2617.231 |
98 |
0.954 |
0.943 |
0.064 |
0.071 |
| SWE |
3218 |
1001.726 |
98 |
0.971 |
0.965 |
0.054 |
0.047 |
| BFL |
2926 |
781.438 |
98 |
0.954 |
0.944 |
0.049 |
0.049 |
| NLD |
2800 |
1097.735 |
98 |
0.940 |
0.926 |
0.060 |
0.057 |
| BGR |
2958 |
1792.593 |
98 |
0.902 |
0.880 |
0.076 |
0.085 |
| EST |
2854 |
782.393 |
98 |
0.956 |
0.947 |
0.049 |
0.043 |
| LVA |
3208 |
1083.461 |
98 |
0.936 |
0.921 |
0.056 |
0.056 |
| LTU |
3624 |
1338.274 |
98 |
0.937 |
0.922 |
0.059 |
0.064 |
| HRV |
3893 |
1171.678 |
98 |
0.957 |
0.948 |
0.053 |
0.045 |
| SVN |
2842 |
1096.959 |
98 |
0.946 |
0.934 |
0.060 |
0.051 |
| ITA |
3446 |
1212.666 |
98 |
0.947 |
0.935 |
0.057 |
0.047 |
| MLT |
3750 |
1647.781 |
98 |
0.919 |
0.900 |
0.065 |
0.064 |
| CHL |
4993 |
824.043 |
40 |
0.974 |
0.964 |
0.063 |
0.035 |
| PER |
5112 |
431.923 |
40 |
0.974 |
0.964 |
0.044 |
0.029 |
| COL |
5527 |
382.406 |
40 |
0.980 |
0.972 |
0.039 |
0.026 |
| DOM |
3749 |
522.199 |
40 |
0.939 |
0.916 |
0.057 |
0.042 |
| MEX |
5472 |
749.774 |
40 |
0.964 |
0.950 |
0.057 |
0.036 |



Invariance between COUNTRY
| Europe |
Configural |
756 |
-697748.8 |
18154.568 |
1372 |
0.940 |
0.951 |
0.058 |
|
|
|
| Europe |
Metric |
587 |
-641165.8 |
18568.567 |
1541 |
0.941 |
0.946 |
0.058 |
0.001 |
-0.005 |
0.000 |
| Europe |
Scalar |
418 |
-646453.4 |
29143.837 |
1710 |
0.914 |
0.913 |
0.069 |
-0.027 |
-0.033 |
0.011 |
| Europe |
Strict |
379 |
-646976.9 |
30190.834 |
1749 |
0.913 |
0.909 |
0.070 |
-0.001 |
-0.004 |
0.001 |
| Latam |
Configural |
185 |
-241149.8 |
2910.344 |
200 |
0.958 |
0.970 |
0.052 |
|
|
|
| Latam |
Metric |
149 |
-224474.3 |
3969.392 |
236 |
0.948 |
0.956 |
0.058 |
-0.010 |
-0.014 |
0.006 |
| Latam |
Scalar |
113 |
-228321.7 |
11664.288 |
272 |
0.863 |
0.865 |
0.095 |
-0.085 |
-0.091 |
0.037 |
| Latam |
Strict |
105 |
-228656.9 |
12334.673 |
280 |
0.859 |
0.857 |
0.096 |
-0.004 |
-0.008 |
0.001 |
Invariance between GENDER
| Europe |
Configural |
108 |
-726512.1 |
14382.970 |
196 |
0.945 |
0.955 |
0.053 |
|
|
|
| Europe |
Metric |
95 |
-664174.3 |
13289.667 |
209 |
0.948 |
0.954 |
0.052 |
0.003 |
-0.001 |
-0.001 |
| Europe |
Scalar |
82 |
-664679.8 |
14300.637 |
222 |
0.947 |
0.951 |
0.052 |
-0.001 |
-0.003 |
0.000 |
| Europe |
Strict |
79 |
-665800.0 |
16541.038 |
225 |
0.939 |
0.943 |
0.056 |
-0.008 |
-0.008 |
0.004 |
| Latam |
Configural |
74 |
-250626.9 |
2133.501 |
80 |
0.965 |
0.974 |
0.045 |
|
|
|
| Latam |
Metric |
65 |
-233402.1 |
2160.990 |
89 |
0.966 |
0.972 |
0.045 |
0.001 |
-0.002 |
0.000 |
| Latam |
Scalar |
56 |
-233867.8 |
3092.452 |
98 |
0.955 |
0.960 |
0.051 |
-0.011 |
-0.012 |
0.006 |
| Latam |
Strict |
54 |
-234007.2 |
3371.208 |
100 |
0.952 |
0.956 |
0.053 |
-0.003 |
-0.004 |
0.002 |